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\"Jack Dempsey, one of the greatest and most popular boxers of all time, reveals the techniques behind his unparalleled success in the ring. Straightforward and with detailed illustrations, Championship Boxing instructs the reader in the theory, training, and application of powerful punching, aggressive defense, proper stance, feinting, and footwork. The methods Dempsey reveals will prove useful to both amateurs and professionals\"--Page 4 of cover.

The impact of first-generation covalent KRAS G12C inhibitors has been reduced due to the development of drug resistance, tolerability and challenges combining with immunotherapy. We designed olomorasib, a next-generation GDP-binding KRAS G12C inhibitor, for nanomolar potency as well as selectivity over wild-type inhibition. In both in vitro and in vivo models of KRAS G12C -mutant cancers, olomorasib reduces RAS activity and pERK levels, leading to substantial and significant tumor growth inhibition. Additionally, olomorasib combined with immune checkpoint inhibitors demonstrates greater anti-tumor activity compared to monotherapy. Furthermore, we demonstrate that olomorasib binds tightly to KRAS G12C even in the presence of clinically relevant second site mutations, a known mechanism of resistance and limitation to currently approved KRAS G12C inhibitors. These findings suggest that olomorasib could be effective for patients with KRAS G12C mutant cancers either as monotherapy or in combination with immunotherapy. Olomorasib monotherapy and combination treatments are currently being investigated clinically. The success of KRAS G12C mutation specific inhibitors in patients with KRAS-driven tumours is limited by the emergence of acquired resistance. Here, the authors characterise olomorasib, a next-generation covalent KRAS G12C-mutant inhibitor, demonstrating efficacy in the presence of clinically relevant resistance mutations in preclinical KRAS-driven cancer models.

Ongoing research is necessary to better understand the causes of autism spectrum disorder (ASD), the developmental outcomes for individuals diagnosed with ASD, and the efficacy of the interventions. However, it is often difficult to recruit sufficient numbers of participants for studies, and despite the prevalence of ASD (currently estimated to affect 1 in 54 children), little research has focused on how to efficiently recruit participants with ASD. The aim of this study was to determine the efficacy of two different paid advertisements-social media and radio advertising-in recruiting participants for a study enrolling people with ASD and their family members by examining the number of participants enrolled, the cost per participant, and the geographic reach of each type of advertising. We examined participant enrollment in a study following nonoverlapping paid advertisements on a popular FM radio station (aired in three cities across two states) and Facebook (six advertisements that ran in five cities across two states). The total paid investment in the radio campaign was $12,030 and that in the Facebook campaign was $2950. Following the advertising campaigns, 1391 participants in the study who were affiliated with the Houston, Texas, site received email invitations to participate in a brief survey about the ways in which they learned about the study (eg, social media, medical provider, website) and which of these were most influential in their decisions to participate; 374 (26.8%) of the participants completed this survey. Social media advertising outperformed radio in all three parameters examined by enrolling more participants (338 vs 149), with a lower average cost per participant ($8.73 vs $80.74) and a wider geographic reach, based on a comparison of the number of zip codes within and outside of Texas for questionnaire respondents who rated social media as the most influential method of contact (n=367, χ =5.85, P=.02). Of the 374 survey participants, 139 (37.2%) reported that they had seen the study on social media prior to enrollment, while only 9 (2.4%) said they heard about it via radio. Our findings suggest that advertising on social media can efficiently reach a large pool of potential participants with ASD, increasing the likelihood of meeting study enrollment goals. Researchers should consider allocating at least some portion of recruitment dollars to social media platforms as a means of quickly and inexpensively reaching out to their target populations, including for studies with in-person procedures.

Long revered as the birthplace of many of the nation's best-known authors, Michigan has also served as inspiration to countless others. In this entertaining and well-researched book-the first of its kind-the secrets, legends, and myths surrounding some of Michigan's literary luminaries are explored. Which Michigan poet inspired a state law requiring teachers to assign at least one of his compositions to all students? Which young author emerged from the University of Michigan with a bestselling novel derided by some critics as \"vulgar\"? And from what Michigan city did Arthur Miller, Robert Frost, and Jane Kenyon draw vital inspiration? The answers to these questions and more are revealed in this rich literary history that highlights the diversity of those whose impact on letters has been indelible and distinctly Michiganian.

We treated a child with intestinal failure who consumed solids on a spoon but not liquids from a cup. We used spoon‐to‐cup fading, which consisted of taping a spoon to a cup and then gradually moving the bowl of the spoon closer to the edge of the cup. Spoon‐to‐cup fading was effective for increasing consumption of liquids from a cup.

Purpose of Review This review explores advances in the utilization of technology to address perinatal mood and anxiety disorders (PMADs). Specifically, we sought to assess the range of technologies available, their application to PMADs, and evidence supporting use. Recent Findings We identified a variety of technologies with promising capacity for direct intervention, prevention, and augmentation of clinical care for PMADs. These included wearable technology, electronic consultation, virtual and augmented reality, internet-based cognitive behavioral therapy, and predictive analytics using machine learning. Available evidence for these technologies in PMADs was almost uniformly positive. However, evidence for use in PMADs was limited compared to that in general mental health populations. Summary Proper attention to PMADs has been severely limited by issues of accessibility, affordability, and patient acceptance. Increased use of technology has the potential to address all three of these barriers by facilitating modes of communication, data collection, and patient experience.

Typical print formatting provides no information regarding the linguistic features of a text, although texts vary considerably with respect to grammatical complexity and readability. Complex texts may be particularly challenging for individuals with weak language knowledge, such as English language learners. This paper investigates the usefulness of a text format referred to as Linguistically-Driven Text Formatting (LDTF), which provides visual cues to grammatical structure for in-the-moment language support during reading. We assessed reading comprehension in adult English Language Learners after a two-session exposure to the new format (also called Cascade Format). Participants’ primary languages were Mandarin and Korean, which have substantially different syntactic structures from English. Ninety participants (30 L1 English, 30 L1 Mandarin, 30 L1 Korean) were randomly assigned to either the traditional or the LDTF format and read six English passages across two sessions within the same week. Comprehension was assessed via questions that probe sentence comprehension and global text properties. Participants also completed a TOEFL assessment, presented in either LDTF or traditional format. Bayesian analyses showed that the Cascade Format improved sentence comprehension relative to control participants for all language groups and experience levels. Effects on the TOEFL assessment, which taps inferencing and meta-linguistic skills, were not observed. Syntactic knowledge plays a fundamental role in reading comprehension, and LDTF appears to support comprehension by providing visual cues to this knowledge that can be used at the very moment of meaning construction.

Previous work in sentence processing has largely ignored influences from discourse-level information. Of the few exceptions to this trend, evidence is scarce as to how, when, and to what extent such information affects parsing decisions in real-time. The current dissertation seeks to fill this gap in the literature by first attempting to replicate an experiment ostensibly showing strongly dynamic and predictive influences on parsing behaviors, and then investigating the time course of any such influences during the reading of temporarily ambiguous attachment structures following discourses with biases for or against their eventual attachment. Experiment 1 revealed a failure to replicate the original finding, suggesting discourse-level information is not readily available for initial processing of unambiguous structures. Eye-tracking data from Experiment 2 revealed a pattern consistent with an account where readers first perform an algorithmic parse devoid of discourse-level biases and then check the resultant representation against the current discourse-model. Individual differences may also affect the extent to this later, integrative influence. Findings are considered in relation to major theories of sentence and discourse processing.

Self-injurious behaviors (SIB) are problematic for many children with autism spectrum disorders (ASD). Existing models to explain factors contributing to SIB fail to account for a large proportion of variance in SIB. This study attempted to explain a greater proportion of variance in SIB by addressing methodological/theoretical limitations in previous research using a sample of 2341 youth with ASD. The model comprised of predictors identified by the prior study continued to explain only a small proportion of variance in the SIB score ( R 2  = .13). Revisions to the model failed to substantially improve model fit. Results suggest that psychological, cognitive, and behavioral factors alone do not adequately explain common measures of SIB and highlight the need for further research.